Title:
ApplicationofFuzzyNeuralNetworktoDecouplingControl
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Description: In the industrial production process for a pure delay, time-varying, strong coupling phenomenon of multiple-input multiple-output is proposed based on fuzzy neural network PID control decoupling and combining the system decoupling control method. This method does not require the establishment of multi-variable mathematical model of the object accurately, through the strong coupling large delay and large inertia of the circulating fluidized bed boiler bed temperature- the main steam pressure simulation objects, and the results show that decoupling control works well, with good static, dynamic and robust.
- [RBF] - Realize RBF neural network prediction pr
- [PID] - On multivariable adaptive decoupling PID
- [control] - Control of unmanned helicopters designed
- [pid6_1] - MATLAB prepared decoupling PID control p
- [FNNjieousuanfa] - Given a fuzzy neural network decoupling
- [ARITHMETICOFDECOUPLINGCONTROLBASED] - For practical engineering MIMO coupled s
- [FNNMATLAB] - A fuzzy neural network decoupling of the
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模糊神经网络在解耦控制中的研究.caj
